data_cholesterol: Hierarchical data from 25 subjects either treated or not at 5...
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data_cholesterol R Documentation
Hierarchical data from 25 subjects either treated or not at 5 hospitals - two-way ANOVA design with repeated measures.
Description
An example dataset on measurements of blood cholesterol levels measured in 5 subjects measured before and after receiving a Drug. Five patients each were recruited at 5 hospitals (a-e), so that there are 25 different subjects (1-25) measured twice. Data are from Micro/Immuno Stats
Usage
data_cholesterol
Format
tibble: 30 obs. of 3 variables:
- Hospital
Factor with 5 levels (a-e), representing different hospitals where subjects were recruited.
- Subject
A factor with 25 levels denoting individuals on whom measurements were made twice.
- Treatment
A factor with 2 levels indicating when measurements were made, i.e. before and after drug.
- Cholesterol
Numerical dependent variable indicating measured doubling time in min.
grafify documentation built on May 29, 2024, 3:49 a.m.
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| data_cholesterol | R Documentation |
Hierarchical data from 25 subjects either treated or not at 5 hospitals - two-way ANOVA design with repeated measures.
Description
An example dataset on measurements of blood cholesterol levels measured in 5 subjects measured before and after receiving a Drug. Five patients each were recruited at 5 hospitals (a-e), so that there are 25 different subjects (1-25) measured twice. Data are from Micro/Immuno Stats
Usage
data_cholesterol
Format
tibble: 30 obs. of 3 variables:
- Hospital
Factor with 5 levels (a-e), representing different hospitals where subjects were recruited.
- Subject
A factor with 25 levels denoting individuals on whom measurements were made twice.
- Treatment
A factor with 2 levels indicating when measurements were made, i.e. before and after drug.
- Cholesterol
Numerical dependent variable indicating measured doubling time in min.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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